24 documents found, page 1 of 3

IgG Antibody responses to Epstein-Barr Virus in Myalgic Encephalomyelitis/Chron...

The diagnosis and pathology of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) remain under debate. However, there is a growing body of evidence for an autoimmune component in ME/CFS caused by the Epstein-Barr virus (EBV) and other viral infections. Materials and Methods: In this work, we analyzed a large public dataset on the IgG antibodies to 3054 EBV peptides to understand whether these immune re...

Antibody selection strategies and their impact in predicting clinical malaria b...

Nowadays, the chance of discovering the best antibody candidates for predicting clinical malaria has notably increased due to the availability of multi-sera data. The analysis of these data is typically divided into a feature selection phase followed by a predictive one where several models are constructed for predicting the outcome of interest. A key question in the analysis is to determine which antibodies sh...

Improving forecasting by resampling STL decomposition

The development of new forecasting algorithms has shown an increasing interest due to the emerging of new fields of application like machine learning and forecasting competitions. Although initially intended for independent random variables, bootstrap methods can be successfully applied to time series. The Boot.EXPOS procedure, which combines bootstrap and exponential smoothing methods, has shown promising resu...

A Strategy to Assess Water Meter Performance

Apparent water losses can be problematic to water companies’ revenues. This type of loss is very difficult to detect and quantify and is often associated with water meter anomalies. This study was motivated by a water company’s challenge that links a decrease in water consumption to water meters’ malfunction. The aim is to develop a strategy to detect decreasing water usage patterns, contributing to meter perfo...

Clinical research and artificial intelligence

Uncovering abnormal water consumption patterns for sustainability’s sake: a sta...

Monitoring domestic water usage may help the water utilities uncover abnormal water consumption. In this context, it is necessary to improve and develop tools based on data analysis of households’ meter readings. This study contributes to this goal by using a statistical methodology that detects abnormal water consumption patterns, namely, significant increases or decreases. This approach relies on a combinatio...

Revisiting IgG antibody reactivity to epstein-barr virus in myalgic encephalomy...

Infections by the Epstein-Barr virus (EBV) are often at the disease onset of patients suffering from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). However, serological analyses of these infections remain inconclusive when comparing patients with healthy controls (HCs). In particular, it is unclear if certain EBV-derived antigens eliciting antibody responses have a biomarker potential for disease ...

Using satellite-based data to facilitate consistent monitoring of the marine en...

As an island nation, Ireland needs to ensure effective management measures to protect marine ecosystems and their services, such as the provision of fishery resources. The characterization of marine waters using satellite data can contribute to a better understanding of variations in the upper ocean and, consequently, the effect of their changes on species populations. In this study, nineteen years (1998–2016) ...

A strategy to assess water meter performance

A recurring problem that troubles water companies is that of timely detection of malfunctioning water meters. Indeed, defective water meters impair the management of water supply and diminish water companies’ revenues. The management of nonrevenue water (NRW) is one key issue for improving water use efficiency, reducing gaps between water supply and demand (Ncube and Taigbenu 2019). Water losses in the distribu...

A strategy to assess water meter performance

Apparent water losses can be problematic to water companies’ revenues. This type of loss is very difficult to detect and quantify and is often associated with water meter anomalies. This study was motivated by a water company’s challenge that links a decrease in water consumption to water meters’ malfunction. The aim is to develop a strategy to detect decreasing water usage patterns, contributing to meter perfo...